An Approach for Time Series Forecasting by Simulating Stochastic Processes Through Time Lagged Feed-forward Neural Network. - Cristian Rodrìguez Rivero; Julián A. Pucheta; Josef Baumgartner; Hector D. Patiño; Benjamín R. Kuchen (DMIN, 2010)

Analysis of a Gaussian process and feed-forward neural networks based filter for forecasting short rainfall time series. - Cristian Rodrìguez Rivero; Julián A. Pucheta; Hector D. Patiño; Josef Baumgartner; Sergio Laboret; Vìctor Sauchelli (IJCNN, 2013)

Accuracy of MAP segmentation with hidden Potts and Markov mesh prior models via Path Constrained Viterbi Training, Iterated Conditional Modes and Graph Cut based algorithms. - Ana Georgina Flesia; Josef Baumgartner; Javier Gimenez; Jorge Martinez 003 (CoRR, 2013)

A New Approach to Segmentation of Multispectral Remote Sensing Images Based on MRF. - Josef Baumgartner; Javier Gimenez; Marcelo C. Scavuzzo; Julián A. Pucheta (IEEE Geosci. Remote. Sens. Lett., 2015)

A new image segmentation framework based on two-dimensional hidden Markov models. - Josef Baumgartner; Ana Georgina Flesia; Javier Gimenez; Julián A. Pucheta (Integr. Comput. Aided Eng., 2016)

Reconocimiento de patrones en campos aleatorios de Markov mediante modelos bayesianos para la agricultura de precisión - Josef Baumgartner (2016)